A Framework for the Rapid Prototyping of Knowledge-based Recommender Systems in the Learning Domain

被引：0

作者：

Ruiz-Iniesta, Almudena ^{[1
]}

Jimenez-Diaz, Guillermo ^{[1
]}

Gomez-Albarran, Mercedes ^{[1
]}

机构：

[1] Univ Complutense Madrid, Dept Software Engn & Artificial Intelligence, E-28040 Madrid, Spain

来源：

JOURNAL OF RESEARCH AND PRACTICE IN INFORMATION TECHNOLOGY | 2012年 / 44卷 / 02期

关键词：

recommender systems; frameworks; learning objects;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation. With a recommendation scheme of five stages as starting point, the framework can be configured and adapted to build different recommenders. The framework not only provides default implementations of alternative strategies for each stage, but can easily be extended with new implementations. Finally, we exemplify the use of the framework by implementing two different recommenders.

引用

页码：167 / 181

页数：15

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